An innovative approach integrating 2-tuple and lowga operators in process failure mode and effects analysis

International Journal of Innovative Computing, Information and Control

Volumn 8, Issue 1 B, 2012, Pages 747-761

  Chang, Kuei Hu ^a   Chang, Yung Chia ^b   Wen, Ta Chun ^b   Cheng, Ching Hsue ^c  

^a DEPARTMENT OF PHYSICS   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^c NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Color super twisted nematic; Linguistic ordered weighted geometric averaging; Process failure mode and effects analysis; Risk priority number

Indexed keywords

2-TUPLE; HIGH-TECH INDUSTRIES; IN-PROCESS; INNOVATIVE APPROACHES; NUMERICAL VERIFICATION; PROCESS FAILURE; RISK OF FAILURE; RISK PRIORITY NUMBER;

COMPUTATIONAL METHODS; COMPUTER APPLICATIONS;

LINGUISTICS;

EID: 84863073453     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (33)

1. J. B. Bowles and C. E. Pelaez, Fuzzy logic prioritization of failures in a system failure modes, effects and criticality analysis, Reliability Engineering and System Safety, vol.50, no.2, pp.203-213, 1995.
2. M. Braglia, MAFMA: Multi-attribute failure mode analysis, International Journal of Quality and Reliability Management, vol.17, no.9, pp.1017-1033, 2000.
3. M. Braglia, M. Frosolini and R. Montanari, Fuzzy criticality assessment model for failure modes and effects analysis, International Journal of Quality and Reliability Management, vol.20, no.4, pp.503-524, 2003.
4. K. H. Chang, Evaluate the orderings of risk for failure problems using a more general RPN methodology, Microelectronics Reliability, vol.49, no.12, pp.1586-1596, 2009.
5. K. H. Chang and C. H. Cheng, A risk assessment methodology using intuitionistic fuzzy set in FMEA, International Journal of Systems Science, vol.41, no.12, pp.1457-1471, 2010.
6. K. H. Chang, C. H. Cheng and Y. C. Chang, Reliability assessment of an aircraft propulsion system using IFS and OWA tree, Engineering Optimization, vol.40, no.10, pp.907-921, 2008.
7. K. H. Chang, C. H. Cheng and Y. C. Chang, Reprioritization of failures in a silane supply system using an intuitionistic fuzzy set ranking technique, Soft Computing, vol.14, no.3, pp.285-298, 2010.
8. K. H. Chang and T. C. Wen, A novel efficient approach for DFMEA combining 2-tuple and the OWA operator, Expert Systems with Applications, vol.37, no.3, pp.2362-2370, 2010.
9. C. H. Cheng and J. R. Chang, MCDM aggregation model using situational ME-OWA and ME-OWGA operators, International Journal of Uncertainty Fuzziness and Knowledge-based Systems, vol.14, no.4, pp.421-443, 2006.
10. F. Chiclana, F. Herrera and E. Herrera-Viedma, The ordered weighted geometric operator: Properties and application, Proc. of the 8th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, Madrid, pp.985-991, 200.
11. F. Chiclana, E. Herrera-Viedma, F. Herrera and S. Alonso, Induced ordered weighted geometric operators and their use in the aggregation of multiplicative preference relations, International Journal of Intelligent Systems, vol.19, pp.233-255, 2004.
12. K. S. Chin, A. Chan and J. B. Yang, Development of a fuzzy FMEA based product design system, International Journal of Advanced Manufacturing Technology, vol.36, no.7-8, pp.633-649, 2008.
13. C. C. Chou, An evaluation of investment risk for container port wharf using fuzzy multiple-criteria decision-making approach, ICIC Express Letters, vol.3, no.3(B), pp.683-688, 2009.
14. M. Delgado, F. Herrea, E. Herrera-Viedma, M. J. Martin-Bautista, L. Martinez and M. A. Vila, A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on internet, Soft Computing, vol.6, pp.320-328, 2002.
15. D. Filev and R. R. Yager, Analytic properties of maximum entropy OWA operator, Information Sciences, vol.85, pp.11-27, 1995.
16. Ford Motor Company, Potential Failure Mode and Effects Analysis (FMEA), Reference Manual, 1988.
17. R. Fuller and P. Majlender, An analytic approach for obtaining maximal entropy OWA operator weights, Fuzzy Sets and Systems, vol.124, no.1, pp.53-57, 2001.
18. Q. Gu and T. Gao, Investment risk control for upgrade-products, ICIC Express Letters, vol.3, no.3(B), pp.627-632, 2009.
19. F. Herrea and L. Martinez, An approach for combining linguistic and numerical information based on 2-tuple fuzzy linguistic representation model in decision-making, International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, vol.8, no.5, pp.539-562, 2000.
20. J. Hou, A. Z. Zeng and L. Zhao, Make-to-order contract with a backup supplier under recurrent supply uncertainties and disruption risks, International Journal of Innovative Computing, Information and Control, vol.5, no.12(A), pp.4479-4489, 2009.
21. B. Kang, N. W. Cho and S.-H. Kang, Real-time risk measurement for business activity monitoring (BAM), International Journal of Innovative Computing, Information and Control, vol.5, no.11(A), pp.3647-3657, 2009.
22. S. M. Kelly, Flat panel displays: Advanced organic materials, Royal Society of Chemistry, pp.115-117, 2000.
23. L. Martinez, Sensory evaluation based on linguistic decision analysis, International Journal of Approximate Reasoning, vol.44, pp.148-164, 2007.
24. S. L. Niezgoda and P. A. Johnson, Case study in cost-based risk assessment for selecting a stream restoration design method for a channel relocation project, Journal of Hydraulic Engineering, vol.133, no.5, pp.468-481, 2007.
25. M. O'Hagan, Aggregating template or rule antecedents in real time expert systems with fuzzy set logic, Proc. of the 22th Annual IEEE Asilomar Conference on Signals, Systems, Computers Pacific Grove, CA, USA, pp.681-689, 1988.
26. N. R. Sankar and B. S. Prabhu, Modified approach for prioritization of failures in a system failure mode and effects analysis, International Journal of Quality and Reliability Management, vol.18, no.3, pp.324-335, 2001.
27. R. K. Sharma, D. Kumar and P. Kumar, Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modeling, International Journal of Quality and Reliability Management, vol.22, no.9, pp.986-1004, 2005.
28. R. K. Sharma, D. Kumar and P. Kumar, Predicting uncertain behavior of industrial system using FM: A practical case, Applied Soft Computing, vol.8, pp.96-109, 2008.
29. P. C. Teoh and K. Case, An evaluation of failure modes and effects analysis generation method for conceptual design, International Journal of Computer Integrated Manufacturing, vol.18, no.4, pp.279-293, 2005.
30. US Department of Defense Washington, D.C., Procedures for Performing a Failure Mode Effects and Criticality Analysis, US MIL-STD-1629A, 1980.
31. K. Xu, L. C. Tang, M. Xie, S. L. Ho and M. L. Zhu, Fuzzy assessment of FMEA for engine systems, Reliability Engineering and System Safety, vol.75, pp.17-29, 2002.
32. Z. Xu, A method based on linguistic aggregation operators for group decision making with linguistic preference relations, Information Sciences, vol.166, pp.19-30, 2004.
33. R. R. Yager, On ordered weighted averaging aggregation operators in multi-criteria decision making, IEEE Transactions on Systems, Man and Cybernetics, vol.18, no.1, pp.183-190, 1988.